UNT College of Information - 6 Matching Results
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- High-Throughput Workflow for Computer-Assisted Human Parsing of Biological Specimen Label Data
- This two-year project will advance understanding of the workflow and processes best able to increase access to and use of digitized biological collection metadata within the stakeholder communities comprised of biologists, natural history museum collections managers, biodiversity standards groups, and the library and information science community.
- Extracting and Parsing of Herbarium Specimen Data: Exploring the Use of the Dublin Core Application Profile Framework
- Paper for the 2010 International iConference. This paper discusses extraction and parsing of herbarium specimen data to make the critical information available in digital form.
- An Application Profile Using Darwin Core Rendered in the New Dublin Core Application Profile Framework
- Poster presented at the 2009 Taxonomic Database Working Group Annual Conference. This poster discusses an application profile using Darwin Core rendered in the new Dublin Core application profile framework. This is part of the Apiary Project, a collaboration of the Texas Center for Digital Knowledge at the University of North Texas and the Botanical Research Institute of Texas.
- An Event Model for Herbarium Specimen Data in XML [Poster]
- Poster presented at the 2010 Taxonomic Database Working Group Meeting. This poster discusses the Apiary Project, a collaboration of the Texas Center for Digital Knowledge at the University of North Texas and the Botanical Research Institute of Texas.
- The Apiary Project: High-Throughput Workflow for Computer-Assisted Human Parsing of Biological Specimen Label Data
- Presentation for the 2009 Society for the Preservation of Natural History Collections Meeting. This presentation discusses research on high-throughput workflow for computer-assisted human parsing of biological specimen label data. This is part of the Apiary Project, a collaboration of the Texas Center for Digital Knowledge at the University of North Texas and the Botanical Research Institute of Texas.
- An Event Model for Herbarium Specimen Data in XML Poster Abstract
- This abstract describes a poster about the Apiary Project. The Apiary Project, a collaboration of the Texas Center for Digital Knowledge at the University of North Texas and the Botanical Research Institute of Texas, is building a framework and web-based workflow for the extraction and parsing of herbarium specimen data. The workflow will support the transformation of written or printed specimen data into a high-quality machine-processable XML format. This poster describes an event model that informed the development of the Apiary XML Application Schema